Abstract: A polyester resin according to the present invention comprises a regenerated bis(2-hydroxyethyl) terephthalate having high purity and containing diethylene glycol ester in an amount controlled below a certain level, and thus has heat resistance and quality comparable to the original resin even though the polyester resin is regenerated through chemical recycling. In particular, a polyester fiber comprising the polyester resin of the present invention has excellent strength, elongation, and processability, and can thus be used as an eco-friendly fiber product.

Abstract: The present invention relates to a nanoscreen for regulating stem cell adhesion and differentiation. Moreover, the present invention relates to a method of regulating stem cell adhesion and differentiation using the nanoscreen. According to the nanoscreen of the present invention and the method of regulating stem cell adhesion and differentiation using the same, it is possible to efficiently regulate stem cell adhesion and differentiation by applying a magnetic field to the nanoscreen.

Abstract: The present invention relates to a nanobarrier for regulating macrophage adhesion and polarization. Moreover, the present invention relates to a method of regulating macrophage adhesion and polarization using the nanobarrier. According to the nanobarrier of the present invention and the method of regulating macrophage adhesion and polarization using the same, it is possible to efficiently regulate macrophage adhesion and polarization by applying a magnetic field to the nanobarrier.

Abstract: A method of medical image registration with respect to a volume of interest (VOI) and an apparatus for performing the method are provided. In one embodiment, the method includes obtaining a first medical image of a selected section of the VOI, from a first medical apparatus, detecting a sectional image corresponding to the selected section from second medical images previously captured of the VOI, based on an anatomical feature appearing in the first medical image, mapping virtual coordinate schemes of the first and second medical images to produce a mapped virtual coordinate scheme, based on the detected sectional image and the first medical image, and tracking a movement of a section of the VOI captured by the first medical apparatus in the second medical images by using a mapped virtual coordinate scheme.

Abstract: Provided is a method and apparatus for tracking a tumor position, which changes by the movement of a body. According to various aspects, a location of a tumor position of a target organ may be estimated using images of one or more surrounding organs.

Abstract: A method and apparatus for performing registration of medical images includes mapping a virtual coordinate system used by a first medical apparatus and a virtual coordinate system used by a second medical apparatus to one another. The coordinate systems are associated with a real-time medical image captured by the first medical apparatus and a three-dimensional (3D) medical image previously captured by the second medical apparatus, respectively. The method further includes detecting a position of a probe of the first medical apparatus from a coordinate system used by the second medical apparatus, based on a result of the mapping, determining a volume image corresponding to the detected position of the probe from the previously captured 3D medical image, and extracting from the determined volume image a cross-sectional image corresponding to the real-time medical image, where the real-time medical image changes according to a patient's physical movement.

Abstract: A method and apparatus to generate a volume-panorama image are provided. A method of generating a volume-panorama image includes receiving conversion relationships between volume images, one of the received conversion relationships being between a first volume image of the volume images and a second volume image of the volume images, the second volume image including an area that is common to an area of the first volume image, generating an optimized conversion relationship from the one of the received conversion relationships based on the received conversion relationships, and generating the volume-panorama image based on the generated optimized conversion relationship.

Abstract: Provided are a virtual fitting device and a virtual fitting method thereof. The virtual fitting method includes acquiring a live video by photographing a user, acquiring a virtual video which includes an avatar corresponding to the user based on a body shape and a movement of the user, determining each composition area of the live video and the virtual video by analyzing the live video and the virtual video, and outputting a virtual fitting video by composing the composition area of the live video and the composition area of the virtual video.

Abstract: An apparatus and a method are provided to generate an ultrasound to be transmitted from an ultrasound irradiation device. The apparatus and the method include acquiring a medical image including anatomical information about a subject, and calculating characteristics of a tissue in the subject, which may affect propagation of the ultrasound based on the medical image. The apparatus and method also determine a parameter of the ultrasound to create a focal point on the subject using the calculated characteristics, and generate the ultrasound according to the determined parameter.

Abstract: Provided are a virtual fitting device and a virtual fitting method thereof. The virtual fitting method includes acquiring a live video by photographing a user, acquiring a virtual video which includes an avatar corresponding to the user based on a body shape and a movement of the user, determining each composition area of the live video and the virtual video by analyzing the live video and the virtual video, and outputting a virtual fitting video by composing the composition area of the live video and the composition area of the virtual video.

Abstract: A method of providing, by a device, information about an object is provided. The method includes analyzing a shape of the object based on an image including the object to determine what kind of object it is, identifying the object, based on an identification reference corresponding to the determined kind of the object from among a plurality of identification references which are previously set in the device, and displaying information about the identified object on a screen of the device.

Abstract: A method of processing a depth image includes receiving a high-resolution color image and a low-resolution depth image corresponding to the high-resolution color image, generating a feature vector based on a depth distribution of the low-resolution depth image, selecting a filter to upsample the low-resolution depth image by classifying a generated feature vector according to a previously learnt classifier, upsampling the low-resolution depth image by using a selected filter, and outputting an upsampled high-resolution depth image.

Abstract: A method and apparatus for generating an organ image are provided. An organ image generating method involves: receiving image data of a medical image of a subject; extracting an image of an organ from the medical image; receiving image data of a generic image of the organ; and generating image data of an organ image of the subject from the generic image of the organ and the extracted image of the organ.

Abstract: Provided are methods of switching guest-host dual frequency liquid crystals by using a back flow. In the case of a shutter having a dual frequency liquid crystal layer between two transparent substrates, such a method includes: applying a first voltage having a first frequency to the dual frequency liquid crystal layer; and applying a second voltage having a second frequency to the dual frequency liquid crystal, the second frequency being higher than the first frequency, wherein the second voltage is higher than a threshold voltage that generates a back flow around liquid crystals of the dual frequency liquid crystal layer, and the first voltage is lower than the threshold voltage.

Abstract: A method of medical image registration includes obtaining a first medical image generated before a medical surgery; obtaining a second medical image generated in real time during the medical surgery; extracting landmark points of at least two adjacent anatomical objects recognizable in the second medical image among a plurality of anatomical objects near an organ of interest of a patient from the first medical image and the second medical image; and registering the first medical image and the second medical image based on a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the first medical image and a geometrical correlation among the adjacent anatomical objects indicated by the landmark points of the second medical image.

Abstract: Disclosed are a method and apparatus for registering images having different modalities. The medical image registration method includes performing, at an initial register, multi-modality registration of a reference image from a plurality of first images captured during a first breathing period and a second image; performing, at the initial register, single-modality registration of the reference image and each of the other first images; generating registration images between the plurality of first images and the second image based on the multi-modality registration and the single-modality registration; acquiring a third image captured after the first breathing period; and detecting an image corresponding to the third image from the registration images.

Abstract: A method and apparatus to generate a volume-panorama image are provided. A method of generating a volume-panorama image includes receiving conversion relationships between volume images, one of the received conversion relationships being between a first volume image of the volume images and a second volume image of the volume images, the second volume image including an area that is common to an area of the first volume image, generating an optimized conversion relationship from the one of the received conversion relationships based on the received conversion relationships, and generating the volume-panorama image based on the generated optimized conversion relationship.

Abstract: Provided is an apparatus and method of multi-view rendering. A method of multi-view rendering includes rendering one or more 3D objects based on a first viewpoint, transforming pixel values of pixels of the first viewpoint, which are obtained by the rendering of the 3D objects, into pixel values of pixels based on a second viewpoint that is different from the first viewpoint, detecting an occlusion region that is a remaining region other than a region represented by the pixel values obtained by the transforming of the pixel values in an image based on the second viewpoint, and rendering the detected occlusion region based on the second viewpoint.

Abstract: Provided is a method of generating a model, the method including generating a first model representing a change in the location or the shape of the region of interest during the respiration cycle, using diagnostic images that are obtained at two points of time in the respiration cycle and that represent the region of interest; extracting shape information of one or more tissues included in the region of interest at a shape information extractor, using a 3D ultrasound image that is obtained at one point of time in the respiration cycle; determining a characteristic point of the 3D ultrasound image corresponding to a characteristic point of the first model by matching the first model with the extracted shape information; and generating a second model by updating the first model with the determined characteristic point.

Abstract: A method, an apparatus, a computer readable recording medium, and a medical imaging system are provided for segmenting an image of an object from an image of an organ. The method includes: generating a reference model of the object by using a priori knowledge related to the object of the organ; determining whether the first image includes a first area in which a shape of the object is unidentified; and in response to determining that the first image excludes the first area, segmenting a second image of the object from the first image, and in response to determining that the first image includes the first area, estimating a progression direction of the first area from the reference model to segment the second image from the first image.